XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: DO ADDITIONAL BANDS (COASTAL, NIR-2, RED-EDGE AND YELLOW) IN WORLDVIEW-2 MULTISPECTRAL IMAGERY IMPROVE DISCRIMINATION OF AN INVASIVE TUSSOCK, BUFFEL GRASS (CENCHRUS CILIARIS)? Victoria Marshall, Megan Lewis, Bertram Ostendorf

Document type:: Multivolume work

Structure type:: Chapter

on on nd ns on ite Or 1€- Or- on er- cal 1€- ps, lex nd 3e- 3), nd 3); tal es 1S- 3), DO ADDITIONAL BANDS (COASTAL, NIR-2, RED-EDGE AND YELLOW) IN WORLDVIEW-2 MULTISPECTRAL IMAGERY IMPROVE DISCRIMINATION OF AN INVASIVE TUSSOCK, BUFFEL GRASS (CENCHRUS CILIARIS)? Victoria Marshall **, Megan Lewis *, Bertram Ostendorf * ? School of Earth and Environmental Sciences, The University of Adelaide, POB 1 Glen Osmond 5064, South Australia (firstname.lastname@adelaide.edu.au ) Commission VIII, WG VIII/6 KEY WORDS: Vegetation, Mapping, Classification, Targets, Multispectral ABSTRACT: Our goals is to determine if Worldview-2 8-band multispectral imagery can be used to discriminate an invasive grass species namely, Buffel grass (Cenchrus ciliaris) in the subtropical arid parts of central Australia and whether it offers a tangible improvement on 4-band (visible and near infra red) multispectral imagery. A Worldview-2 scene was acquired for a 10*10km area just west of Alice Springs in central Australia following heavy rains of early Summer. Mixture Tuned Matched Filtering was used to classify the image. Target and from the image. Linear discriminate analysis (LDA) was us target/ background spectra. The importance of the additiona background spectra were selected in the field and extracted d to examine the spectral separability of each group of the 1 spectral bands on the image classification was assessed by running LDA for both 8 and 4 bands (red, green, blue and NIR). LDA did not indicate improved separability between groups when additional spectral bands were applied. Preliminary classification results indicate that Buffel grass (Cenchrus ciliaris) is detected with an omission error 44%, commission error of 11.8% and overall accuracy of 59.5%. We were surprised that the additional spectral bands did not improve spectral separability and in part attribute this to the high degree of variance we observed within groups of spectra, which was particularly observable in the NIR2 and Yellow bands. The analyses may be significantly improved by acquiring imagery following the first big rains at the end of the dry season. At this time, phonological differences between our focal species and the surrounding native vegetation should be maximised. We suspect that Worldview-2 will offer even greater potential for the discrimination of Buffel grass under these conditions, being able to fully utilise the yellow-band in particular. 1. INTRODUCTION Grass invasions represent a significant threat to biodiversity and in their aggregate may impact global aspects of ecosystem function (D'antonio and Vitousek, 1992). This is largely due to their impact on native wildfire regimes which typically increase in frequency and intensity where grass was previously absent. Early detection of new invasions fronts is critical for effective control. Remote sensing presents as an ideal mode for mapping and monitoring invasion as it affords a landscape scale view of the invasion and can be cost effective compared with laborious field work. However, due to the often indistinct spectra of grasses and varying sizes of stands, accurate detection using remote sensing is challenging. It requires careful consideration of the species distinctive features, smallest unit of invasion, seasonal growth, and habit as well as characteristics of the sensor employed. Although successfully applied to species-level discrimination where the target-species covered a broad extent and possessed distinct phonological characteristics (Arzandeh and Wang, 2003), aerial photography as well as long-established multispectral sensors such as Landsat and SPOT have been described as inadequate for discriminating between grasses (Gray et al., 2008, Stitt et al., 2006). Hyperspectral sensors have been proven to deliver a high degree of accuracy for species-level discrimination (Gray et al., 2009, Lass et al., 2002) but the advantages of hyperspectral sensors do not always justify the high cost and large volumes of redundant data requiring expert interpretation; as a result it is impractical for most weed management authorities to utilise this imagery. The recently launched (January 2010) Digital Globe Sensor Worldview-2 offers a middle ground between high spatial and high spectral resolution which has been lacking. It provides high spatial resolution (2 m multispectral, 0.5 m pan-sharpened) as well as 8 spectral bands specifically: short-wave blue (427-458 nm), blue (478- 515 nm), green (546- 586 nm), yellow (608- 632 nm), red (659- 694 nm), red-edge (724- 749 nm), NIR-1 (833- 901 nm) and NIR-2 (949- 1043 nm). Our aim is to determine if Worldview-2 imagery can be used to discriminate an invasive grass species namely, Buffel grass (Cenchrus ciliaris) in the subtropical arid parts of central Australia and whether it offers a tangible improvement on 4-band (visible and near infra red) multispectral imagery.

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